Analysis of factors influencing student performance in higher education using regression analysis

Thesis Overview

The research project titled "Analysis of factors influencing student performance in higher education using regression analysis" aims to investigate the various factors that play a significant role in influencing the academic performance of students in higher education institutions. The study will utilize regression analysis as a statistical tool to analyze the relationship between these factors and student performance. The importance of this research lies in its potential to provide valuable insights into the complex interplay of variables that impact student success in higher education. By identifying and understanding the key factors that affect academic performance, educators and policymakers can develop targeted interventions and strategies to enhance student outcomes. The research will begin with a thorough review of existing literature on factors influencing student performance in higher education. This literature review will provide a comprehensive overview of the current state of knowledge in this area and identify gaps in the literature that the study aims to address. The methodology section of the research will outline the research design, data collection methods, and analytical techniques that will be employed to investigate the research question. Regression analysis will be used to examine the relationships between various factors such as student demographics, academic background, study habits, and institutional support, and student performance. The findings of the study will be presented and discussed in detail in the results and discussion chapter. This section will provide a nuanced analysis of the data collected and offer insights into the significance of the identified factors on student performance. The implications of these findings for educational practice and policy will also be discussed. In conclusion, the research project "Analysis of factors influencing student performance in higher education using regression analysis" seeks to contribute to the existing body of knowledge on student success in higher education. By shedding light on the factors that impact student performance, the study aims to inform evidence-based practices that can help improve student outcomes and promote academic success in higher education institutions.